14 citations as recorded by crossref.

1. Use of a nonstationary copula to predict future bivariate low flow frequency in the Connecticut river basin K. Ahn & R. Palmer 10.1002/hyp.10876
2. Sensitivity of methods for calculating environmental flows based on hydrological characteristics of watercourses regarding the hydropower potential of rivers D. Młyński et al. 10.1016/j.jclepro.2019.119527
3. Hydrological modelling in small ungauged catchments U. COMINI et al. 10.1590/0001-3765202020180687
4. Updating estimates of low-streamflow statistics to account for possible trends A. Blum et al. 10.1080/02626667.2019.1655148
5. Quantitative analysis of the impacts of climate and land-cover changes on urban flood runoffs: a case of Dar es Salaam, Tanzania P. Mzava et al. 10.2166/wcc.2021.026
6. Hazards resulting from hydrological extremes in the upstream catchment of the Prut River F. Corduneanu et al. 10.1134/S0097807816010061
7. A hierarchical Bayesian model for regionalized seasonal forecasts: Application to low flows in the northeastern United States K. Ahn et al. 10.1002/2016WR019605
8. Vorhersage von hydrologischen Abflusskennwerten in unbeobachteten Einzugsgebieten mit Machine Learning C. Klingler et al. 10.1007/s00506-022-00891-4
9. Characterizing and understanding the variability of streamflow drought indicators within the USA M. Pournasiri Poshtiri et al. 10.1080/02626667.2018.1534240
10. Bivariate frequency analysis of nonstationary low‐flow series based on the time‐varying copula C. Jiang et al. 10.1002/hyp.10288
11. Bivariate low flow return period analysis in the Mahanadi River basin, India using copula B. Sahoo et al. 10.1080/15715124.2019.1576698
12. A Hybrid Approach for Regional Low-Flow Frequency Analysis for the Upper Tigris and Euphrates Basin A. Serdar Anli et al. 10.1061/JHYEFF.HEENG-5698
13. Utilisation d’une base de données de jaugeages à une échelle régionale pour la réalisation et la mise à jour d’un référentiel d’étiage B. Grelier et al. 10.1080/27678490.2023.2287051
14. Assessing the non-stationarity of low flows and their scale-dependent relationships with climate and human forcing S. Liu et al. 10.1016/j.scitotenv.2019.06.025